Summary of Evolving Interpretable Visual Classifiers with Large Language Models, by Mia Chiquier et al.
Evolving Interpretable Visual Classifiers with Large Language Modelsby Mia Chiquier, Utkarsh Mall, Carl VondrickFirst submitted…
Evolving Interpretable Visual Classifiers with Large Language Modelsby Mia Chiquier, Utkarsh Mall, Carl VondrickFirst submitted…
A Survey on Deep Learning for Theorem Provingby Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong…
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editingby Mude Hui, Siwei Yang, Bingchen Zhao, Yichun…
MMInA: Benchmarking Multihop Multimodal Internet Agentsby Ziniu Zhang, Shulin Tian, Liangyu Chen, Ziwei LiuFirst submitted…
Vision Augmentation Prediction Autoencoder with Attention Design (VAPAAD)by Yiqiao YinFirst submitted to arxiv on: 15…
AIGeN: An Adversarial Approach for Instruction Generation in VLNby Niyati Rawal, Roberto Bigazzi, Lorenzo Baraldi,…
Chinchilla Scaling: A replication attemptby Tamay Besiroglu, Ege Erdil, Matthew Barnett, Josh YouFirst submitted to…
Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMsby Ruoxi Cheng, Haoxuan…
High-Resolution Detection of Earth Structural Heterogeneities from Seismic Amplitudes using Convolutional Neural Networks with Attention…
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidenceby Kevin Wu, Eric…